Hermite type moving-least-squares approximations

DOI10.1016/J.CAMWA.2006.04.005zbMath1153.41003OpenAlexW1970780859MaRDI QIDQ936699

B. E. Eshmatov

Publication date: 19 August 2008

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2006.04.005

zbMATH Keywords

local polynomial approximation\(C^{\infty }\) interpolation approximation in \(\mathbb R^n\)Hermite type interpolation metricmoving-least-squares approach

Mathematics Subject Classification ID

Approximation by polynomials (41A10) Algorithms for approximation of functions (65D15)

Related Items (6)

Error analysis of the moving least-squares method with non-identical sampling ⋮ Learning performance of regularized moving least square regression ⋮ Convergence rate for the moving least-squares learning with dependent sampling ⋮ Error analysis for \(l^q\)-coefficient regularized moving least-square regression ⋮ Statistical analysis of the moving least-squares method with unbounded sampling ⋮ Error analysis of the moving least-squares regression learning algorithm with β-mixing and non-identical sampling

Cites Work

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• Moving least-squares are Backus-Gilbert optimal
• Surfaces Generated by Moving Least Squares Methods
• The approximation power of moving least-squares

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